Top Hybrid Machine Learning Engineer Jobs

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

As a Principal Machine Learning Engineer at Zscaler, you will lead AI/ML projects, optimize systems, and collaborate on cybersecurity solutions while mentoring engineers.

As a Machine Learning Engineer at Cisco ThousandEyes, you will develop, evaluate, and implement AI/ML models, including Deep Learning and Large Language Models, and manage large-scale ML pipelines.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Build and iterate machine learning models and proofs-of-concept using TrainingPeaks' athlete and coach data. Collaborate with product and engineering, debug and monitor models, interface with customers for feedback, and stay current on applied ML and AI techniques to deliver production-ready solutions.

The Machine Learning Engineer designs, implements, and scales AI solutions by building AI agents, developing evaluation frameworks, and optimizing production systems while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

Lead development of AI/ML systems for robotics and manufacturing, implementing machine learning architectures and collaborating with cross-functional teams.